The Traffic Control Device Detection model provides an easy-to-use yet powerful way to
identify the traffic flow control devices used in your highway construction project.
Designed for engineers and other professionals involved in highway projects, the model
allows you to quickly identify any missing or mispositioned traffic control devices and
quickly replace, secure, or repair them as needed. As traffic control devices are a key
element of any highway construction project, this model provides you with a speedy way to
check on the overall safety of your project.
Key features include:
-
Fast analysis – Designed to ingest and analyze large sets
of data, this model can return results in a matter of minutes or even seconds.
-
Improved accuracy
– This model can accurately detect what the human eye may miss, including a range of traffic
control devices, from cones, barricades, barriers, work vehicles, and safety fences, to automated
flagger devices, floating water markers, stationary crash cushions, life float rings, and
much more.
-
Annotated images and detailed reports – Bounding boxes
will appear around detected traffic control devices, enabling you to quickly locate where
they are within the image. The annotated images are viewable directly from our platform,
for the utmost convenience, or you can download them for later viewing. The model also generates
a detailed report that lists each detection along with their confidence level for further
analysis.
This model detects:
- Channelizers (drums and tubular markers)
- Cones
- Barricades (Type 3)
- Concrete Barrier
- Longitudinal channelizing Device
- Temporary traffic control signs
- Truck mounted attenuators
- Jersey barriers
- Work vehicles
- Portable changeable message signs
- Lights
- Construction safety fence
- Chain link fence
- Floating water marker
- Automated flagger device
- Stationary crash cushions
- Life float ring
- Screens
Required Inputs
PNG or JPEG files
Note: This model is trained on oblique imagery, collected downward to an approximate 45
degree angle to the ground.
Expected Output
Annotated images
XLSX report